Parallel LDPC Decoding Schedule for 5G-NR Throughput and Latency
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Solution Overview
Problem
Current decoding methods for large low density parity check (LDPC) codewords in 5G-NR networks fail to meet strict throughput and latency requirements due to inefficient scheduling approaches, leading to suboptimal performance in noisy communication channels.
Innovation Solution
Implementing a parallel-layered decoding schedule that utilizes parallel processing units (PPUs) to process check nodes independently, allowing for simultaneous updates of variable nodes and reducing the number of iterations required for successful decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional sequential decoding scheduling is used for large LDPC codewords, then decoding accuracy can be maintained, but throughput requirements cannot be met due to excessive decoding time
Solution Approach 1:
The LDPC codeword is divided into multiple segments or blocks that can be processed independently and in parallel. Each segment undergoes separate decoding operations, allowing the overall decoding process to be distributed across multiple processing units simultaneously, thereby increasing throughput while maintaining decoding accuracy through segmented parallel processing
Solution Approach 2:
The patent introduces a new dimension of parallel processing by implementing multiple decoding schedules that operate simultaneously on different segments of the LDPC codeword. This dimensional expansion from sequential to parallel processing across multiple time-space dimensions enables the system to meet stringent throughput and latency requirements of 5G-NR networks
2Reliability
If more iterations are performed to improve decoding accuracy in noisy channels, then error correction capability increases, but energy consumption and processing time increase
Solution Approach 1:
The patent implements a stopping criterion that allows the decoding process to terminate early when a predetermined number of iterations have been completed or when a convergence condition is met. This partial action approach performs sufficient iterations to achieve required decoding accuracy without unnecessarily continuing to the maximum iteration limit, thereby reducing energy consumption while maintaining reliability in noisy communication channels
Data Source
AI summary
Apparatuses, systems, and techniques to correct errors in information received from a plurality of fifth-generation new radio antennas. In at least one embodiment, codeword information is decoded by a plurality of variable (or vector) nodes and check nodes, where codewords and nodes are divided among processors to be performed in parallel.